Groundwater level prediction using modified recurrent neural network combined with meta-heuristic optimization algorithm DOI
Eui Hoon Lee

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: unknown, P. 101398 - 101398

Published: Dec. 1, 2024

Language: Английский

Hydrogeochemical Characteristics of an Abandoned Copper Mine Tailings Storage Facility Producing Circumneutral Seepage Waters DOI
Walubita Mufalo,

Kenani Malama,

Takahiko Arima

et al.

Mine Water and the Environment, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Language: Английский

Citations

0

Hydro-geochemical investigation and Fluoride levels in Lakes: A comprehensive health risk assessment DOI Creative Commons
Mrunmayee Manjari Sahoo, Janaki Ballav Swain

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract The proposed study investigates the key hydro-geochemical relationships between salts and ions, their spatial distribution, sources of occurrence, non-malignant health effects associated with fluoride contamination risk in lakes Rajasthan, India. covers a cluster 18 lakes, assessed using standard procedures from USEPA WHO. findings highlight significant influence both anthropogenic activities natural lithology on which are crucial potable domestic water supply. Water quality parameters such as BOD, pH, Fe, Mn²⁺, PO₄³⁻, F⁻, HCO₃⁻ exceeded permissible limits set by Correlation analysis revealed strong positive associations (F⁻) like Ca²⁺, electrical conductivity (EC), K⁺, HCO₃⁻, influenced geological factors, soil composition, pH levels, temperature, ion presence, redox reactions. Hydro-geochemical characteristics were primarily represented combinations Ca-HCO₃, Mg-HCO₃, SO₄-HCO₃, Na-K-HCO₃, reflecting context, high bicarbonate elevated levels Mg²⁺ sulphate ions. hazard quotient index (HQI) for exposure to risks, an HQI greater than 1 infants (93%), followed children (89%), teenagers (79%), adults (54%). area, including regions Udaipur, Jodhpur, Alwar, Ajmer, showed that approximately 52% population falls within Category F2 (concentrations 0.5 mg/L 1.5 mg/L).

Language: Английский

Citations

0

Groundwater Modeling from Urban Areas (NW Portugal): an Integrated Hydrological-Hydrogeological Approach DOI
Jean‐Pascal Miranda, I.M.H.R. Antunes, Carlos Antônio Álvares Soares Ribeiro

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Language: Английский

Citations

0

Identification of priority sources of potentially hazardous elements from public drinking water fountains in Zajecar/East Serbia DOI
Jelena Vesković, Antonije Onjia

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Kriging-interpolated mapping and predictive modeling of groundwater F− and NO3− contamination with chemometric and health risk assessments in Ghana's Birimian Province DOI
Mahamuda Abu, Johnbosco C. Egbueri, Johnson C. Agbasi

et al.

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(5)

Published: April 10, 2025

Language: Английский

Citations

0

Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert DOI Creative Commons

Saad Ahmed Mohallel,

Hesham Morgan, Ali Elgendy

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Language: Английский

Citations

0

Electrochemical sensors based on gold nanoparticles and nanocomposite of MWCNT-OH/graphene for detecting hydrazine and nitrite simultaneously DOI
Wulan Tri Wahyuni,

Hemas Arif Rahman,

Rayyan Azzahra Hidayat

et al.

Next Materials, Journal Year: 2025, Volume and Issue: 8, P. 100677 - 100677

Published: April 28, 2025

Language: Английский

Citations

0

Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China DOI
Jing Gao, Jian Li,

T. K. Tong

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 175, P. 113491 - 113491

Published: May 1, 2025

Language: Английский

Citations

0

Spatial analysis and soft computational modeling for hazard assessment of potential toxic elements in potable groundwater DOI Creative Commons
R. S. Aswal, Mukesh Prasad, Jaswinder Singh

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 26, 2024

Swiftly increasing population and industrial developments of urban areas has accelerated the worsening water quality in recent years. Groundwater samples from different locations Doon valley, Garhwal Himalaya were analyzed to measure concentrations six potential toxic elements (PTEs) viz. chromium (Cr), nickel (Ni), arsenic (As), molybdenum (Mo), cadmium (Cd), lead (Pb) using Inductively Coupled Plasma Mass Spectrometer (ICP-MS) with aim study spatial distribution associated hazards. In addition, machine learning algorithms have been used for prediction identification influencing PTEs. The results inferred that mean values (in units µg L

Language: Английский

Citations

2

Regional Irrigation Water Quality Index for the Old Brahmaputra River, Bangladesh: A Multivariate and GIS-Based Spatiotemporal Assessment DOI Creative Commons
Md. Touhidul Islam,

AKASH,

Mst Rokeya Khatun

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103667 - 103667

Published: Dec. 1, 2024

Language: Английский

Citations

2